Arrhythmia classification is the need of the hour as the world is reporting a higher death troll
as a cause of cardiac diseases. Most of the existing methods developed for arrhythmia …

Considerable research has been devoted to develo** machine-learning models for
continuous Blood Pressure (BP) estimation. A challenging problem that arises in this domain …

Speaker recognition is a rapidly emerging area of research. Voice biometrics that is
obtained from the speaker's behavior or physical related features provides a pattern of data …

Arrhythmia classification is an interesting research field that serves as the solution for most
of the cardiac-related diseases. The patients with cardiac diseases are experiencing the …

Cloud computing is the advancing technology that aims at providing services to the
customers with the available resources in the cloud environment. When the multiple users …

This paper proposes to remotely estimate a human subject's blood pressure using a
millimeter-wave radar system. High blood pressure is a critical health threat that can lead to …

Electroencephalogram (EEG) signals are commonly used in analysing the brain activity. The
EEG signals have small amplitude and hence, they are often affected by the artefacts. For …

Medical industry reports prostate cancer as common and high among men and alarms the
necessity for detecting prostate cancer for which the required morphology is extracted from …

The rapid increase in information and technology has led to the increased amount of web
pages, which raises the complexity in sticking to relevant web pages, and the visitor suffers …

In this paper, a hybrid model is developed by integrating a non-linear regression model and
optimization-driven deep learner for video super resolution. Initially, the low-resolution …